SYSTEMS, METHODS, AND COMPUTER-READABLE MEDIA FOR CHARACTERIZING MICROSPHERIC MATERIAL

    公开(公告)号:US20250014366A1

    公开(公告)日:2025-01-09

    申请号:US18577618

    申请日:2022-07-13

    Abstract: Methods, systems, and computer readable media are disclosed for characterizing the porosity of a microspheric material, training a classifier model for classifying spatially-contiguous image regions of backscatter electron scanning electron microscopy (BSE-SEM) images of a microspheric material according to the particle composition of the image regions, and characterizing the elemental composition of a microspheric material. The methods include: receiving image data representative of a microscopic images of a sample microspheric material; segmenting the image data into a plurality of spatially-contiguous image regions; classifying, by a trained machine-learning model, each of the plurality of spatially-contiguous image regions; and characterizing the microspheric material. The disclosure also relates to compositions for use as an FCC catalyst comprising microspheres which comprise alumina and/or clay and/or a zeolite.

    CU-CHA SCR CATALYSTS HAVING SPECIFIC LATTICE STRAIN AND DOMAIN SIZE CHARACTERISTICS

    公开(公告)号:US20220331787A1

    公开(公告)日:2022-10-20

    申请号:US17753554

    申请日:2020-09-24

    Abstract: The present disclosure provides catalyst compositions capable of reducing nitrogen oxide (NOx) emissions in engine exhaust. The catalyst compositions include metal ion-exchanged zeolites having a domain size of less than about 1500 Ångstroms (Å), a crystallographic strain of less than about 0.7%, or both. Further provided are catalyst articles coated with such compositions, processes for preparing such catalyst compositions and articles, an exhaust gas treatment system including such catalytic articles, and methods for reducing NOx in an exhaust gas stream using such catalytic articles and systems.

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